DocumentCode
1992111
Title
Sleeping Schedule Aware Minimum Transmission Broadcast in Wireless Ad Hoc Networks
Author
Hong, Jue ; Li, Wenzhong ; Lu, Sanglu ; Cao, Jiannong ; Chen, Daoxu
Author_Institution
State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China
fYear
2008
fDate
8-10 Dec. 2008
Firstpage
399
Lastpage
406
Abstract
As a fundamental operation of wireless ad hoc networks (WANET), broadcast has been widely studied in the past ten years. However, most existing broadcasting strategies assumed non-sleeping wireless devices. Little attention has been paid to broadcast in WANETs with sleeping schedule, which is a promising power-saving method in wireless networks. In this paper we study the sleeping schedule aware minimum transmission broadcast problem in WANETs (MTB-SA problem) and prove its NP-hardness. Both centralized and distributed approximation algorithms are presented to solve the problem. The centralized algorithm SchmM-Cent has an approximation ratio of 3(ln¿+1) and time complexity of O(n^3). The distributed algorithm SchmM-Dist has a constant approximation ratio of at most 20, while time and message complexity are both O(n). In addition, we provide theoretical analysis and simulations to evaluate the performance of the approximation algorithms.
Keywords
ad hoc networks; computational complexity; optimisation; NP-hard problem; distributed approximation algorithms; minimum transmission broadcast; sleeping schedule aware; wireless ad hoc networks; Algorithm design and analysis; Analytical models; Approximation algorithms; Broadcast technology; Broadcasting; Distributed algorithms; Mobile ad hoc networks; Performance analysis; Processor scheduling; Scheduling algorithm; Minimum transmission broadcast; NP-hard problem; approximation algorithm; sleeping schedule; wireless ad hoc network (WANET);
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Systems, 2008. ICPADS '08. 14th IEEE International Conference on
Conference_Location
Melbourne, VIC
ISSN
1521-9097
Print_ISBN
978-0-7695-3434-3
Type
conf
DOI
10.1109/ICPADS.2008.16
Filename
4724345
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